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Fit logistic regression on German Credit and simple + multiple linear regression on Electricity; interpret coefficients. Concepts: Linear decision boundary; sigmoid; odds ratios; least squares; residuals Project A: Odds ratio of checking 'overdrawn' vs 'no account'; log to leaderboard with the cost-optimal threshold. Project B: Simple regression load ~ temperature (poor: U-shape) vs multiple regression with calendar, lags and degree-days.
Builds on: B18 路 Build: Spam Classifier with Probabilities (sigmoid, softmax, cross-entropy), B17 路 Build: Fit a Line with Gradient Descent (calculus in action)